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首页> 外文会议>IEEE 10th International Conference on Ubiquitous Intelligence and Computing; IEEE 10th International Conference on Autonomic and Trusted Computing >A Linked Data Approach to Electromagnetic Pollution Monitoring
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A Linked Data Approach to Electromagnetic Pollution Monitoring

机译：电磁污染监测的链接数据方法

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摘要

This paper describes how novel knowledge modeling and management techniques borrowed from the Semantic Web were exploited to publish data coming from Electromagnetic (EM) pollution monitoring to the Linked Data Cloud. The paper shows how, starting from requirements coming from the EM use case, the procedure of data publishing was carried out, with the support of public tools, shared standards and established methodologies. A synthetic comparison between available tools is provided, a knowledge model integrating proprietary and public ontologies and vocabularies described, and a practical use case narrated. In this way, starting from a concrete use case, a panoramic on Linked Data capabilities and on state-of-art procedures, tools and standards is provided.
机译：本文介绍了如何利用从语义网借来的新颖知识建模和管理技术将来自电磁（EM）污染监测的数据发布到链接数据云。本文展示了如何从EM用例提出的要求开始，在公共工具，共享标准和既定方法的支持下，执行数据发布过程。提供了可用工具之间的综合比较，集成了描述的专有和公共本体和词汇的知识模型，以及叙述的实际用例。这样，从一个具体的用例开始，就提供了链接数据功能以及最新过程，工具和标准的全景。

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